CN108075928B - General simulation model and method for network flow - Google Patents
General simulation model and method for network flow Download PDFInfo
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- CN108075928B CN108075928B CN201711347787.9A CN201711347787A CN108075928B CN 108075928 B CN108075928 B CN 108075928B CN 201711347787 A CN201711347787 A CN 201711347787A CN 108075928 B CN108075928 B CN 108075928B
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Abstract
The invention provides a general simulation model and a general simulation method for network traffic, wherein the model comprises the following steps: the general simulation unit is used for processing the actual routing data and the actual flow data; the general simulation unit includes: the service routing processing unit is used for processing the actual routing data according to different service scenes to generate service routing tables corresponding to the different service scenes; the service flow processing unit is used for grouping the actual flow data according to different service scenes to generate service flows corresponding to the different service scenes; and the simulation calculation unit is used for carrying out simulation calculation according to the service routing tables corresponding to different service scenes and the service flows corresponding to different service scenes to obtain simulation result data. The technical scheme reduces the complexity and maintenance cost of network flow simulation.
Description
Technical Field
The invention relates to the technical field of network flow simulation, in particular to a universal simulation model and method for network flow.
Background
At present, when a user realizes a network flow simulation system, simulation calculation and flow calculation are mixed together, and at the moment, when relevant flow simulation is realized, the system is complex and even difficult to realize.
Therefore, the existing network flow simulation system is complex and high in later maintenance cost.
Disclosure of Invention
The embodiment of the invention provides a general simulation model of network flow, which is used for reducing the complexity and maintenance cost of network flow simulation and comprises the following components:
the general simulation unit is used for processing the actual routing data and the actual flow data; the general simulation unit includes: the service routing processing unit is used for processing the actual routing data according to different service scenes to generate service routing tables corresponding to different scenes; the service flow processing unit is used for grouping the actual flow data according to different service scenes to generate service flows corresponding to different scenes;
and the simulation calculation unit is used for carrying out simulation calculation according to the service routing tables corresponding to different scenes and the service flows corresponding to different scenes to obtain simulation result data.
The embodiment of the invention also provides a general simulation method of network flow, which is used for reducing the complexity and maintenance cost of network flow simulation and comprises the following steps:
the processing of the actual routing data and the actual traffic data includes: processing actual routing data according to different service scenes to generate service routing tables corresponding to the different scenes; grouping actual flow data according to different service scenes to generate service flows corresponding to different scenes;
and carrying out simulation calculation according to the service routing tables corresponding to different scenes and the service flows corresponding to different scenes to obtain simulation result data.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the network flow general simulation method when executing the computer program.
The embodiment of the invention also provides a computer readable storage medium, and the computer readable storage medium stores a computer program for executing the parallel protection of the network flow simulation.
Compared with a flow simulation system mixing simulation calculation and flow calculation together in the prior art, the technical scheme provided by the embodiment of the invention comprises the following steps:
firstly, the simulation calculation is extracted as a general logic, the simulation calculation is separated from the service flow processing and the service routing processing, the original complex simulation process is decoupled, the complexity of flow simulation is reduced, meanwhile, the service flow and service routing processing personnel only need to pay attention to the service flow and service routing processing, the simulation calculation personnel only need to concentrate on the improvement of the performance of the algorithm, and if the model is improved during later maintenance, only the corresponding separated part needs to be improved, so that the maintenance cost is reduced.
Secondly, processing actual routing data according to different service scenes to generate service routing tables corresponding to the different service scenes; the method and the device have the advantages that the actual flow data are grouped according to different service scenes to generate service flows corresponding to the different service scenes, the processing of service routing data and service flow data according to the different service scenes is realized, the simulation calculation logic is not concerned any more, meanwhile, the subsequent simulation calculation is conveniently carried out according to the service routing tables corresponding to the different service scenes and the service flows corresponding to the different service scenes, and meanwhile, the simulation calculation performance is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the principles of the invention. In the drawings:
FIG. 1 is a schematic diagram of a general simulation of network traffic in an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a general simulation model of network traffic in an embodiment of the present invention;
FIG. 3 is a network topology and traffic routing representation for each router in an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a traffic routing processing unit in the embodiment of the present invention;
fig. 5 is a schematic structural diagram of a traffic flow processing unit in the embodiment of the present invention;
FIG. 6 is a schematic diagram of a simulation calculation model in an embodiment of the invention;
fig. 7 is a flowchart illustrating a general network traffic simulation method according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in further detail with reference to the following embodiments and accompanying drawings. The exemplary embodiments and descriptions of the present invention are provided to explain the present invention, but not to limit the present invention.
Before introducing the network traffic simulation scheme provided by the embodiment of the present invention, first, the professional name designed by the embodiment of the present invention is introduced:
1) IGP (interior Gateway protocols) is used for exchanging routing information within the same autonomous system.
2) Bgp (border gateway protocol) is a routing protocol for dynamically exchanging routing information between autonomous systems.
3) SNMP simple network management protocol is a standard protocol for managing network nodes (e.g., servers, workstations, routers, switches, etc.) in an IP network.
4) netFlow protocol: netflow is a set of protocols developed by Cisco to specifically address the problems created by the original traffic pattern. After the Netflow function is started on the network device or the interface thereof, the network device performs sampling analysis on the flow to be analyzed, and sends the results of the sampling analysis to the analysis section for flow analysis, and the results of the sampling analysis are much smaller than the results of the original data. The result data of the sampling analysis by the network device may include parameters such as a source address, a destination address, a source port, a destination port, a size of the data stream, an interface through which the data stream passes, an arrival time of the data stream, and a sending time of the data stream.
As the inventor finds the technical problems in the prior art, a decoupling model is provided, the simulation calculation is extracted as general logic, and is separated from the flow calculation rule item. The scheme establishes a general model for network flow simulation, can decouple the original complex simulation service by establishing a new model, and standardizes the original complex flow. According to the model, simulation calculation can be more focused on a calculation mode, the calculation performance is improved, such as application multithreading and distributed application, and a user can focus on the design of service flow and service routing because of separation from simulation calculation, so that the complexity of the user for realizing a network flow simulation system is reduced. The proposed process and scheme of the present invention is described below.
Fig. 1 is a schematic diagram of a principle of general network traffic simulation in an embodiment of the present invention, and as shown in fig. 1, a general network traffic simulation model provided in an embodiment of the present invention separates simulation computation from service flow definition and service route definition mainly by definition of a general simulation interface, and continuously decouples a system, where the general simulation interface mainly includes three parts: traffic flow data, traffic routing tables, network topology. And the general simulation calculation uses general calculation logic to calculate according to the data to achieve the purpose of simulation. In different scenes, a user only needs to realize the design of service flow and service routing, does not care about computational logic, reduces the complexity of the system and is convenient for later maintenance.
The general simulation model for network traffic is described in detail below.
Fig. 2 is a schematic structural diagram of a network traffic general simulation model in the embodiment of the present invention, and as shown in fig. 2, the model includes:
a general simulation unit 10, configured to process actual routing data and actual traffic data; the general simulation unit 10 includes: a service routing processing unit 11, configured to process actual routing data according to different service scenarios, and generate service routing tables corresponding to the different service scenarios; the service flow processing unit 12 is configured to group actual flow data according to different service scenarios to generate service flows corresponding to the different service scenarios;
and the simulation calculation unit 20 is configured to perform simulation calculation according to the service routing tables corresponding to different service scenarios and the service flows corresponding to different service scenarios, so as to obtain simulation result data.
In specific implementation, a general simulation interface as shown in fig. 1 may be set, where the general simulation interface is configured to receive the service routing tables corresponding to different scenes from the general simulation unit 10 and the service flows corresponding to different scenes, and send the service routing tables corresponding to different scenes and the service flows corresponding to different scenes to the simulation computation unit 20.
In one example, the traffic route processing unit 11 includes:
a routing data acquisition unit 111, configured to acquire routing device information and adjacent routing device information, and actual routing table data;
a network topology model generating unit 112, configured to generate a network topology model according to the routing device information and the neighboring routing device information;
and a service routing table unit 113, configured to generate service routing tables corresponding to different service scenarios according to the actual routing table data and the network topology model.
In one example, the traffic routing table unit 113 includes:
a first routing table generating unit 1131, according to the service scenario, merging the actual routing table data to generate a first routing table;
and a service routing table generating unit 1132, configured to generate service routing tables corresponding to different service scenarios according to the network topology model and the first routing table.
In specific implementation, the service scenario mentioned in the embodiment of the present invention may refer to traffic component granularity observed according to needs of a user, for example, traffic from a network (south kyo metropolitan area network) to a network (beijing metropolitan area network) or traffic from a service (broadband) to a service (metropolitan area network). The above merging the actual routing table data according to the service scenario to generate the first routing table, that is, merging the actual routing table data into the coarse-grained routing (the first routing table) according to the corresponding service scenario, has the advantages that: the calculation amount can be reduced, and therefore the network flow simulation efficiency is improved.
In specific implementation, the route data acquisition unit 111 may acquire device and neighbor device information according to an IGP protocol, the network topology model generation unit 112 forms a network topology model according to the acquired device and neighbor device information, and the IGP device may advertise its own neighbor information and neighbor metric values, and form a topology model according to an adjacency relationship of devices. Based on this, the collected device information and adjacent routing device information may include location information and distance information of the device.
In specific implementation, the routing data acquiring unit 111 may acquire an actual routing table by using an IGP/BGP protocol, and the first routing table generating unit 1131 merges actual routing table data according to a service scenario to generate a first routing table, that is, merges actual BGP routing tables according to the actual routing table and a corresponding service scenario, where a coarser-grained routing table entry (first routing table) is used to describe the working process of the first routing table generating unit 1131 by taking an example as follows:
according to the NEXT _ HOP attribute of BGP route and AS _ PATH: the first As of the attribute merges BGP routes to form coarse-grained routes, and all andsunnunched corresponding to the same NEXT _ HOP and As _ PATH are one record. BGP routing is as follows:
FROM:202.97.32.1
AS_PATH:64557
NEXT_HOP:118.84.113.75
ORIGINATOR:202.97.32.226
MULTI_EXIT_DISC:0
LOCAL_PREF:800
COMMUNITIES:4134:111 4134:3022 4134:3221 4134:64557 64557:10646
ANNOUNCED:219.148.128.0/20
ANNOUNCED:219.148.144.0/20
ANNOUNCED:222.222.0.0/16
ANNOUNCED:222.223.0.0/16
after being combined, the
ANNOUNCED:219.148.128.0/20
ANNOUNCED:219.148.144.0/20
ANNOUNCED:222.222.0.0/16
ANNOUNCED:222.223.0.0/16
Recording into a network a, finally generating a record, which can be seen in table 1 below:
| destination network | NEXT_HOP | AS_PATH |
| Network A | 118.84.113.75 | 64557 |
TABLE 1
All BGP routes are merged as above to form merged coarse-grained routes, see table 2 below:
| destination network | NEXT_HOP | AS_PATH |
| Network A | 118.84.113.75 | 64557 |
| Network B | 118.84.113.76 | 64557 |
| ..... | ........ | ........ |
| ...... | ....... | .... |
TABLE 2
In specific implementation, the service routing table unit 113 generates a service routing table according to the actual routing table data and the network topology model, that is, a service routing table is formed according to the network topology and the coarse-grained routing table, and the network topology structure and the service routing table of each router are shown in fig. 3. The detailed process of generating the traffic routing table is described below with reference to fig. 3:
for each router in the IGP domain, a router advertising the NEXT _ HOP in the IGP route is found, and a traffic routing table is formed in the IGP domain according to a shortest path algorithm by taking the router as a target. For example, the traffic routing table generation process of Router1 is as follows:
the NEXT _ HOP (118.84.113.75) of the first coarse-grained route is targeted to find the path to 118.84.113.75 in the IGP domain by the shortest path algorithm as Router1 → link3 → link4 → Router4, which is recorded in a traffic routing format as shown in table 3 below:
| router ID | Target network | Next hop |
| Router1 | Network A | link3 |
TABLE 3
The service routing table is obtained by calculating each coarse-grained route as above, and is shown in table 4 below:
| router ID | Target network | The next jumper wire |
| Router1 | Network A | link3 |
| Router1 | Network B | link1 |
| Router1 | ..... | ..... |
| Router1 | ...... | ...... |
TABLE 4
In one example, the traffic flow processing unit 12 includes:
a traffic data collecting unit 121, configured to collect total traffic information and component information of actual traffic of the routing device;
and the processing unit 122 is configured to group the traffic flows according to the service scenarios, the total traffic information, and the component information of the traffic, and generate service flows corresponding to different service scenarios.
In specific implementation, the process of acquiring the flow data by the flow data acquiring unit 121 may include: total traffic can be collected with snmp (simple network management protocol) and actual traffic components can be collected with netflow. The processing unit 122 groups the IP ranges according to the actual service scenario to form different service flows, for example, if the target IP of the traffic is within the IP range of the network a, the traffic is converged to form a piece of traffic, and the process is shown in table 5 and table 6 below.
| Target IP | Flow rate |
| IP1 (belonging to network A) | 500M |
| IP2 (belonging to network A) | 300M |
TABLE 5
After the convergence, the method becomes:
| target network | Flow rate |
| Network A | 800M |
TABLE 6
In specific implementation, the grouping principle should not be smaller than the granularity of the service route.
The procedure of the general simulation calculation (simulation calculation unit) is described below.
As shown in fig. 4, the simulation calculation process may include:
(1) traffic flows flow from device 1;
(2) judging a link to which a next hop should go according to a '1 pseudo routing table' and a 'service flow target' when the flow passes through the 1 equipment;
(3) adding the flow into the packet flow on the passing links, and if a plurality of links exist, equally dividing the flow on the links according to the bandwidth;
(4) and finding the opposite end of the link, and carrying out the process according to the flow until the flow component group reaches the end point.
In one example, the simulation computing unit 02 is specifically configured to:
and performing simulation calculation by adopting a plurality of calculation threads and a distributed mode according to the service routing tables corresponding to different service scenes and the service flows corresponding to different service scenes to obtain simulation result data.
In specific implementation, during calculation, because a plurality of service flows are service flows corresponding to different scenes and no logical causal relationship exists between the service flows, multithreading and a distribution mode can be adopted for calculation to improve the calculation performance.
Based on the same inventive concept, the embodiment of the present invention further provides a network traffic general simulation method, as in the following embodiments. Because the principle of solving the problems of the network flow general simulation method is similar to that of the network flow general simulation model, the implementation of the network flow general simulation method can refer to the implementation of the network flow general simulation model, and repeated parts are not described again. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 7 is a schematic flow chart of a general network traffic simulation method in the embodiment of the present invention, and as shown in fig. 7, the method includes the following steps:
step 101: the processing of the actual routing data and the actual traffic data includes: processing actual routing data according to different service scenes to generate service routing tables corresponding to the different service scenes; grouping actual flow data according to different service scenes to generate service flows corresponding to the different service scenes;
step 102: and carrying out simulation calculation according to the service routing tables corresponding to different service scenes and the service flows corresponding to different service scenes to obtain simulation result data.
In one example, processing actual routing data according to different service scenarios to generate service routing tables corresponding to the different service scenarios may include:
collecting routing equipment information, adjacent routing equipment information and actual routing table data;
generating a network topology model according to the routing equipment information and the adjacent routing equipment information;
and generating service routing tables corresponding to different service scenes according to the actual routing table data and the network topology model.
In one example, generating the service routing table corresponding to different service scenarios according to the actual routing table data and the network topology model may include:
merging actual routing table data according to a service scene to generate a first routing table;
generating service routing tables corresponding to different service scenes according to the network topology model and the first routing table
In one example, grouping actual traffic data according to different service scenarios to generate service flows corresponding to the different service scenarios may include:
collecting total flow information and actual flow component information of the routing equipment;
and grouping according to the service scenes, the total flow information and the flow component information according to the IP range to generate service flows corresponding to different service scenes.
In one example, performing simulation calculation according to the service routing table corresponding to different service scenarios and the service flow corresponding to different scenarios to obtain simulation result data may include:
and performing simulation calculation by adopting a plurality of calculation threads and a distributed mode according to the service routing tables corresponding to different service scenes and the service flows corresponding to different scenes to obtain simulation result data.
The embodiment of the invention also provides computer equipment which comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor, wherein the processor realizes the network flow general simulation method when executing the computer program.
The embodiment of the invention also provides a computer readable storage medium, and the computer readable storage medium stores a computer program for executing the parallel protection of the network flow simulation.
The technical scheme provided by the embodiment of the invention realizes that:
1) and the service routing table is provided, and the original complex simulation process is decoupled.
2) After decomposition according to the general simulation model, service definition personnel can concentrate on service definition, and algorithm personnel concentrate on algorithm performance improvement.
The technical scheme provided by the implementation of the invention has the beneficial technical effects that:
compared with a flow simulation system mixing simulation calculation and flow calculation together in the prior art, the technical scheme provided by the embodiment of the invention comprises the following steps:
firstly, the simulation calculation is extracted as a general logic, the simulation calculation is separated from the service flow processing and the service routing processing, the original complex simulation process is decoupled, the complexity of flow simulation is reduced, meanwhile, the service flow and service routing processing personnel only need to pay attention to the service flow and service routing processing, the simulation calculation personnel only need to concentrate on the improvement of the performance of the algorithm, and if the model is improved during later maintenance, only the corresponding separated part needs to be improved, so that the maintenance cost is reduced.
Secondly, processing actual routing data according to different service scenes to generate service routing tables corresponding to the different scenes; the method and the device have the advantages that the actual flow data are grouped according to different service scenes to generate service flows corresponding to different scenes, the service routing data and the service flow data are processed according to different service scenes, simulation calculation logic is not concerned any more, meanwhile, simulation calculation is conveniently carried out subsequently according to the service routing tables corresponding to different scenes and the service flows corresponding to different scenes, and meanwhile, the simulation calculation performance is improved.
It will be apparent to those skilled in the art that the modules or steps of the embodiments of the invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and alternatively, they may be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, and in some cases, the steps shown or described may be performed in an order different than that described herein, or they may be separately fabricated into individual integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, embodiments of the invention are not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the present invention, and various modifications and changes may be made to the embodiment of the present invention by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A generic simulation model for network traffic, comprising:
the general simulation unit is used for processing the actual routing data and the actual flow data; the general simulation unit includes: the service routing processing unit is used for processing the actual routing data according to different service scenes to generate service routing tables corresponding to the different service scenes; the service flow processing unit is used for grouping the actual flow data according to different service scenes to generate service flows corresponding to the different service scenes;
and the simulation calculation unit is used for carrying out simulation calculation according to the service routing tables corresponding to different service scenes and the service flows corresponding to different service scenes to obtain simulation result data.
2. The network traffic generic simulation model of claim 1, wherein the traffic routing processing unit comprises:
the routing data acquisition unit is used for acquiring routing equipment information, adjacent routing equipment information and actual routing table data;
a network topology model generating unit, configured to generate a network topology model according to the routing device information and the neighboring routing device information;
and the service routing table unit is used for generating service routing tables corresponding to different service scenes according to the actual routing table data and the network topology model.
3. The network traffic generic simulation model of claim 2, wherein the traffic routing table element comprises:
the first routing table generating unit is used for merging the actual routing table data according to the service scene to generate a first routing table;
and the service routing table generating unit is used for generating service routing tables corresponding to different service scenes according to the network topology model and the first routing table.
4. The network traffic generic simulation model of claim 2, the traffic flow processing unit comprising:
the flow data acquisition unit is used for acquiring total flow information and actual flow component information of the routing equipment;
and the processing unit is used for grouping according to the service scenes, the total flow information and the actual flow component information according to the IP range to generate service flows corresponding to different service scenes.
5. The network traffic generic simulation model of claim 1, the simulation computation unit being specifically configured to:
and performing simulation calculation by adopting a plurality of calculation threads and a distributed mode according to the service routing tables corresponding to different service scenes and the service flows corresponding to different service scenes to obtain simulation result data.
6. A general simulation method for network traffic is characterized by comprising the following steps:
the processing of the actual routing data and the actual traffic data includes: processing actual routing data according to different service scenes to generate service routing tables corresponding to the different service scenes; grouping actual flow data according to different service scenes to generate service flows corresponding to the different service scenes;
and carrying out simulation calculation according to the service routing tables corresponding to different service scenes and the service flows corresponding to different service scenes to obtain simulation result data.
7. The method according to claim 6, wherein the step of processing the actual routing data according to different service scenarios to generate the service routing tables corresponding to different service scenarios comprises:
collecting routing equipment information, adjacent routing equipment information and actual routing table data;
generating a network topology model according to the routing equipment information and the adjacent routing equipment information;
and generating service routing tables corresponding to different service scenes according to the actual routing table data and the network topology model.
8. The method for universal simulation of network traffic according to claim 6, wherein grouping actual traffic data according to different service scenarios to generate service flows corresponding to different service scenarios comprises:
collecting total flow information and actual flow component information of the routing equipment;
and grouping the total flow information and the actual flow component information according to the service scenes and the IP range to generate service flows corresponding to different service scenes.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any one of claims 6 to 8 when executing the computer program.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 6 to 8.
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| CN114244725B (en) * | 2021-12-17 | 2023-07-04 | 中山大学 | Service-driven network flow simulation method and device |
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